ODM2 Python API
A Python-based application programmer's interface for the Observations Data Model 2 (ODM2).
The easiest and most reliable way to install the ODM2 Python API (
odm2api) is using the Conda package management system via either Anaconda or Miniconda. To start using conda (if it's not your system default), add conda to the PATH; on MacOSX and Linux, it's something like
export PATH=$HOME/miniconda/bin:$PATH, but the exact path may vary.
To activate a conda environment, say, "myenv":
activate myenv # On Windows source activate myenv # On MacOSX or Linux
odm2api currently is only tested on Python 2.7. Some changes have been made to support Python 3.x, but they haven't been tested thoroughly.
Latest release, from ODM2 anaconda.org channel
conda install -c odm2 odm2api
All dependencies are installed, including Pandas and its dependencies (numpy, etc).
To create a new environment "myenv" with the
conda create -n myenv -c odm2 python=2.7 odm2api
Installing the development version from the
master branch on github
Note from 4/26/2016: These instructions may be slightly outdated. Follow these directions for installing the bleeding edge github master branch, mainly for development and testing purposes.
To create a new environment "myenv" with
odm2api, first download the conda environment file condaenvironment_1.yml. Go to the directory where
condaenvironment_1.yml was downloaded. Then, on a terminal shell:
conda env create -n myenv --file py2_conda_environment.yml
Activate the new environment, then install
odm2api into the environment:
activate myenv # On Windows source activate myenv # On MacOSX or Linux pip install --process-dependency-links git+https://github.com/ODM2/ODM2PythonAPI.git
This work was supported by National Science Foundation Grants EAR-1224638 and ACI-1339834. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.